BEYOND PHYSICIAN
VOICE
Confidential Document
BEYOND PHYSICIAN
VOICE
Updated March 2026 — Incorporating Your Feedback
GENEA + Beyond Physician VOICE AI
Updated analysis incorporating your process review feedback, new intelligence on audio challenges, and a concrete path to pilot in May.
At a Glance
What We Found
After reviewing documentation, completed deliverables, and live meeting notes, we found integration opportunities across the entire lifecycle.
3
Phases We Accelerate
Pre-event planning, live capture, post-event analysis
~50%
Overall Process Reduction
Full event cycle compressed from 14-16 weeks to 6-8 weeks. Post-event turnaround reduced from 6-8 weeks to 1-2 weeks through automated transcription, pre-applied attribution, and structured data delivery
NEW
Intelligence Layer
Sentiment analysis, emotion scoring, speaker attribution, and behavioral correlation (87% to prescribing behavior) added across the entire pipeline
How to Read This Document
The next section walks through the current process step by step. At each step where we identify friction or an integration opportunity, you will see one of these indicators:
WARNING identifies a friction point or bottleneck in the current process.
VOICE AI INTEGRATION shows our recommended solution and the immediate impact.
Current Process + Where We Fit
End-to-End Workflow
The current process from client engagement through final delivery. Integration points and friction are identified at each phase.
Client Strategy Intake
Before the formal planning process begins, there is a window to capture client intent directly. Strategy calls, kickoff meetings, and early discussions set the foundation for everything downstream.
VOICE AI Integration
Pre-Campaign Intelligence
Get on a call with the customer. VOICE AI records the conversation and identifies the core problems the client needs solved, the outcomes they are looking for, and the gaps in their current data. From that single call, the system develops targeted questions for the upcoming physician engagements.
⚠ Important — Recording Requirements for Upcoming Calls
As you begin scheduling discovery and planning calls with your client, please record all conversations and send us the original raw audio file — MP3, WAV, or M4A. If the call includes video or screen sharing (Zoom, Google Meet, etc.), send the original MP4 as well.
Do not send:
Do not send:
- Otter.ai summaries or transcripts
- AI-generated notes or cleaned transcriptions from any system
- Exported text files or meeting summaries
We need the unprocessed source file. Our system captures disfluencies, speech patterns, pacing, and tonal cues that are stripped out by other transcription tools. These recordings also train the system on your specific medical terminology and abbreviations before the live event — giving us a significant head start on accuracy for the day of.
Client Call
VOICE AI records, identifies problems and solutions sought
→
Questions Generated
Targeted physician interview questions, auto-developed from the call
→
Client Approval
Approved live on a follow-up call, or via quick-access document
Quick-Access Approval Document (optional)
How has DATROWAY changed your treatment sequencing for mNSCLC patients?
✓
~
✕
What clinical evidence would increase your confidence in earlier-line use?
✓
~
✕
Describe your current approach to managing ADC-related toxicities.
✓
~
✕
Clients who prefer asynchronous review can approve, edit, or flag questions directly.
▲
Steps 1 through 3 currently take 4 to 8 weeks with 40+ revision cycles. One recorded call generates the questions. One follow-up call (or a quick document review) approves them.
1
Key Client Questions (KCQ)
T-8 weeks
Operations Manager captures the pharma client's core research questions and learning objectives. Reviewed and approved by the Scientific Content Manager through tracked document review.
Ops Manager Scientific Content Manager
VOICE AI Integration
Pre-Drafted KCQs from Discovery
If the Pre-Campaign Discovery phase is used, VOICE AI delivers pre-drafted KCQs generated directly from the recorded client strategy call. The Ops Manager reviews and refines rather than starting from scratch.
▲
Reduces KCQ development from days of back-and-forth to a focused review session.
2
Strategic Outline
T-8 weeks
KCQs are organized into a narrative framework. Written in past tense for cross-event reuse. This becomes the structural backbone for all downstream content. Primarily driven by the Medical Writer and Ops Manager, with directional alignment from the Scientific Content Manager.
Medical Writer Ops Manager Scientific Content Manager
3
Content Outline
T-4 weeks
Medical Writer builds a slide-by-slide blueprint from the Strategic Outline. This is the most revision-intensive document in the process. Primarily driven by the Medical Writer and Ops Manager, with oversight from the Scientific Content Manager. Moderator provides a final sign-off rather than active iteration.
Medical Writer Ops Manager Scientific Content Manager SharePoint Review
Warning
40+ Revision Cycles Per Content Outline
Each content outline goes through extensive tracked-change review with 40+ individual comments per round. This step alone can take weeks of back-and-forth before the document is approved and the Content Deck can be built.
VOICE AI Integration
Structured Foundation from Discovery Data
When KCQs are pre-drafted from the client strategy call, the Strategic Outline and Content Outline inherit a clearer, more aligned starting point. Fewer misalignments between client intent and physician-facing content means fewer revision cycles.
▲
Revision cycles reduced by starting from validated client intent rather than interpreted assumptions.
4
Program Guide + Content Deck
T-2 to T-1 weeks
Program Guide briefs the moderator on discussion flow, timing, and ARS polling structure. Content Deck is the final 40+ slide presentation used in the live meeting.
Ops Manager Medical Writer Moderator
5
Live Advisory Board Meeting
4 hours, 18-20 physicians
Moderated discussion with physician panelists. Note-takers capture speaker attribution and key quotes in real-time. Staffing is variable depending on resource availability: two Project Managers, a Project Manager and Medical Writer, or in some cases a single note-taker. ARS electronic polling captures structured responses alongside the open discussion.
Moderator 1-2 Note-Takers (variable) 18-20 Physicians
Warning
Speaker Attribution Fails in Real-Time
With 18 to 20 physicians in a room, note-takers cannot reliably identify who is speaking. When only one person is covering the session, the problem compounds. Attribution failures are documented in the actual meeting notes.
Critical — Recent Event
Room Audio Failures Produce Unusable Recordings
At the most recent event series, three rooms were used with questionable audio quality across the board. One session produced recordings and transcriptions that were completely unusable — the team is entirely reliant on manual notes for that session. The same venue and rooms are booked for September, meaning this problem will recur without a change in capture approach.
VOICE AI Integration
Distributed Audio Capture — Room Independent
Audio capture runs on dedicated hardware devices provided by our team — not on physician phones. Each device is placed at the physician's seat inside a secure, locked enclosure with its own power source. The physician does not need to touch, interact with, or even be aware of the device. All devices operate on a closed, private network that is isolated from the venue's internet and inaccessible to anyone outside the room. The system captures individual audio streams at the device level and uses three layers of speaker attribution to eliminate manual identification. Because capture happens on each device, it does not depend on room acoustics, microphone placement, or venue audio infrastructure. Bad room audio becomes irrelevant.
Layer 1
Primary Recording
Individual audio from each device
Layer 2
Spatial Triangulation
Cross-reference position in the room
Layer 3
Voice Fingerprint
30-second enrollment per speaker
Same physician, same quote:
Current: Manual Notes
"[MB1] I think this could be Dr. Venu or possibly Dr. Jagathi or Dr. Aneel. Hard to tell from this angle."
Actual comment from meeting notes
Speaker
Unknown (3 possible)
Confidence
Not captured
Enthusiasm
Not captured
Concern Level
Not captured
Engagement
Not captured
Timestamp
Not captured
Audio
Not available
Rx Correlation
Not possible
With VOICE AI
Dr. Venu Paramasivam: "The efficacy data for DATROWAY in second-line mNSCLC has changed how I sequence treatments for patients with prior ADC exposure."
Speaker-attributed, timestamped, sentiment-scored
Speaker
Dr. Venu Paramasivam (verified)
Confidence
82%
Enthusiasm
71%
Concern Level
22% (low)
Engagement
88%
Timestamp
01:42:18
Audio
Playable clip with waveform
Rx Correlation
87% behavioral match
▲
Note-takers focus on discussion quality instead of scrambling to identify speakers. Attribution accuracy goes from best-guess to verified. Staffing variability and room audio quality are no longer risk factors.
6
Transcription + Synthesis
Currently 2-3 weeks
Recordings are available within approximately one week. Notes are available to Medical Writers within the first week. Transcripts are returned in approximately two to three weeks. The transcripts arrive as raw text with no speaker labels, requiring the Medical Writer to manually cross-reference with note-taker records to identify speakers and synthesize themes.
Transcription Vendor Medical Writer Note-Takers
Warning
No Speaker Labels, Manual Cross-Referencing, Room-Dependent Quality
The transcription vendor returns raw text with no speaker attribution. The Medical Writer must manually match quotes against note-taker records one page at a time. When room audio fails — as it did in the most recent event — recordings can be completely unusable, and the entire process falls back on manual notes alone.
VOICE AI Integration
Attributed Transcription + Emotion Analysis — Minutes, Not Weeks
Transcription completes in minutes with speaker attribution already applied from the distributed capture system. The Medical Writer receives structured, searchable, speaker-identified data instead of raw text requiring manual cross-referencing. Simultaneously, the Emotion Derivation Engine scores every utterance across six dimensions, adding an intelligence layer that does not exist in the current process and cannot be added retroactively.
Confidence
Enthusiasm
Determination
Contemplation
Concern
Engagement
Example: Dr. Venu Paramasivam, Sentiment Profile
Confidence
82
Enthusiasm
71
Determination
65
Contemplation
48
Concern
22
Engagement
88
▲
Transcription drops from 2-3 weeks to minutes. Speaker attribution is pre-applied. The Medical Writer receives structured, searchable, sentiment-scored data instead of raw text — eliminating the manual cross-referencing step entirely. Room audio quality is no longer a variable.
7
Market Insights Report
Currently 2-4 additional weeks
Medical Writer manually authors a 35-slide PowerPoint deck synthesizing discussion themes, physician quotes, ARS polling data, and strategic recommendations. This is what the pharma client receives.
Medical Writer Ops Manager Client Review
Warning
Static Format, Manual Authoring, Limited Data
The final deliverable is a static PowerPoint constrained to what PMs captured manually. No audio playback, no sentiment analysis, no interactive exploration. Once delivered, the data cannot be re-queried or shared dynamically across the client organization.
VOICE AI Integration
Interactive Intelligence Dashboard
A password-protected, branded interactive dashboard configured to your specifications. The dashboard can include any combination of outputs: question-mapped physician responses, sentiment visualizations, individual physician profiles, summary insights, aggregate scoring, audio playback with timestamps, or any other format the client needs. The client team logs in, explores data across multiple views, and shares across their organization. Branded entirely under GENEA.
▲
Transforms a static slide deck into a living digital asset. Includes data the current format cannot capture: sentiment profiles, audio playback, geographic mapping, adoption readiness scoring.
The Deliverable
What the Client Actually Sees
The final dashboard is branded under GENEA and delivered to the pharma client. Your brand is front and center; ours is not visible.
ldn.beyondphysician.org
Beyond Physician
Home Dashboard Physicians
16
Physicians
87%
Rx Correlation
6
Dimensions
Confidence
Enthusiasm
Engagement
Our platform, our brand
insights.genea.com
GENEA
Home Dashboard Physicians
20
Physicians
87%
Rx Correlation
6
Dimensions
Confidence
Enthusiasm
Engagement
Same platform, your brand
Included in Every Dashboard
Audio Playback
Per-physician waveform audio with sentiment overlay
Sentiment Overlay
Six-dimension scoring on every utterance
Geographic Mapping
Physician locations and regional patterns
Physician Profiles
Individual cards with quotes, sentiment, and adoption badges
Adoption Readiness
High, medium, low scoring per physician
Password Protected
Secure, shareable across the client organization
Timestamped Quotes
Every quote linked to exact moment in audio
Watermark Verification
Audio authenticity proof built into every clip
Action-Oriented Dashboard
Strategic priorities and investment highlights, not just data
Full Capabilities
What We Provide
Every capability below is private-labeled under GENEA. Each service stands on its own, and the full package is designed to work together.
Pre-Campaign Intelligence
Record the client strategy call. System identifies problems and solutions sought, then develops targeted physician interview questions. Approved live on a follow-up call or via quick-access document.
Physician Recruiting
Access to the Beyond Physician marketplace to source physicians, or bring your own and we handle the capture infrastructure.
Distributed Audio Capture
Dedicated hardware devices at each physician's seat, operating on a secure closed network. Three-layer speaker attribution replaces manual identification. Physicians do not interact with the devices.
Transcription + Attribution
Minutes, not weeks. Speaker-attributed, disfluency-preserved, verbatim transcripts with high accuracy.
Sentiment + Emotion Analysis
Six-dimension scoring per physician per utterance. 87% correlation to prescribing behavior. Fully self-owned, zero third-party API dependencies.
Interactive Dashboard
Password-protected intelligence platform configured with any outputs you need. Audio playback, sentiment profiles, geographic mapping, adoption scoring, question-mapped responses, summary punchlines — fully customizable. Branded under your identity.
Validated Metrics
Technical Performance
Validated metrics from the VOICE AI platform across transcription, emotional analysis, and behavioral correlation.
5 min
Transcription per 34 min of audio
94%
Disfluency capture accuracy
87%
Correlation to prescribing behavior
6
Emotion dimensions per utterance
85-90%
Emotion engine accuracy vs. Hume AI
0
Third-party API dependencies
Process + Time Reduction
Full event cycle from client engagement through final deliverable
CURRENT TIMELINE
14-16
weeks per event cycle
8 weeks pre-event + 6-8 weeks post-event
~50%
PROCESS + TIME
REDUCTION
REDUCTION
WITH VOICE AI
6-8
weeks per event cycle
Pre-event streamlined + post-event in days
CURRENT POST-EVENT
Recordings available: ~1 week
Notes to Medical Writers: ~1 week
Transcripts returned: 2-3 weeks
Manual cross-referencing: additional days
Report authoring: 2-4 weeks
Total: 6-8 weeks post-event
WITH VOICE AI POST-EVENT
Transcription: minutes (room-independent)
Speaker attribution: pre-applied
Sentiment scoring: automatic
Cross-referencing: eliminated
Report / dashboard: days, not weeks
Total: 1-2 weeks post-event
Shorter cycles mean more events per year, per client. More capacity to sell without adding headcount. Every downstream step receives better data, faster.
Competitive Context
Commodity Transcription vs. Intelligence Platform
Understanding the difference between a transcription tool and a full intelligence pipeline.
Commodity Transcription
TranscriptionYes
Speaker IDBasic diarization
Room Audio DependencyFull
Bad Room = UnusableYes
Healthcare TerminologyGeneric models
Sentiment AnalysisNone
Behavioral CorrelationNone
Interactive DashboardNone
White-LabelNo
Data OwnershipThird-party servers
VOICE AI (Private Label)
TranscriptionMinutes, not weeks
Speaker ID3-layer verified
Room Audio DependencyNone — device-level
Bad Room = UnusableRoom irrelevant
Healthcare TerminologyPurpose-built + human QA
Sentiment Analysis6 dimensions per utterance
Behavioral Correlation87% to Rx behavior
Interactive DashboardFull — branded
White-LabelYes — GENEA branded
Data OwnershipYour infrastructure
The Core Difference
A commodity transcription tool takes audio and produces text. VOICE AI takes a physician advisory board meeting and produces a branded, interactive deliverable with sentiment analysis, verified speaker attribution, and behavioral correlation. These are not comparable categories — one is a utility, the other is a premium product GENEA can deliver to pharma clients.
Infrastructure
Security + IT Vetting
Our platform is built for environments where data control and compliance matter.
0
Third-Party AI Dependencies
Fully proprietary pipeline. No data sent to OpenAI, Google, or any external AI provider.
🔒
Data Stays in Your Control
Audio processed on dedicated infrastructure. No physician data stored on shared or public cloud AI services.
🛠
No PHI in Scope
Advisory board recordings capture physician opinions on treatments, not patient health information.
🌐
Dedicated Hardware on Closed Network
Capture runs on dedicated devices we provide — not on physician phones. All devices operate on a private, closed network isolated from venue internet. Physicians do not interact with the hardware. Audio-only, session-scoped.
Offline Capability
The platform can operate in a fully secure, offline setting. No internet connection required during capture. Data syncs when connectivity is available, on your terms.
The Path Forward
May Pilot Timeline
Planning for May sessions starts now. Here is the path from today through full September deployment.
This Week
Align on Scope
Weeks 1-2
IT Vetting
Weeks 3-4
Pilot Setup
May
Live Pilot
September
Full Deploy
1
Confirm Scope + IT Path
Walk through updated process, agree on pilot format (full event or single session), and identify the IT vetting process and timeline.
2
Submit IT + Security Materials
Provide architecture documentation, data flow diagrams, and security questionnaire responses. Begin internal approval process immediately.
3
Audio Sample Test
If raw audio from a recent event is available, we run it through the full pipeline and deliver a side-by-side comparison: current vendor output vs. ours — with speaker attribution and sentiment scoring applied.
4
Configure GENEA-Branded Environment
Set up the private-label dashboard: GENEA colors, GENEA domain, GENEA branding. All client-facing touchpoints reflect your brand.
5
May Pilot — Live Deployment
Run VOICE AI alongside the existing process at the May event. Capture runs on dedicated hardware devices on a closed system — physicians do not need to touch anything. Beyond Physician staff will be on-site to manage all hardware setup, deployment, and operation. Full pipeline: transcription, attribution, sentiment, and an interactive dashboard configured to your specifications. Brian is available to lead demos directly with your internal team and client stakeholders at any point leading up to or during the event.
6
September — Full Integration
Based on pilot results, full deployment for September sessions. The room audio problem is permanently solved. The interactive dashboard can be configured with any outputs you or the client need — question-mapped responses, sentiment visualizations, physician profiles, summary punchlines, aggregate scoring, or any combination. GENEA delivers an entirely new category of deliverable to the client.
© 2026 Beyond Physician, Inc. All Rights Reserved. Confidential.